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Senior Associate, Agents/Chatbots IC

Amgen

Senior Associate, Agents/Chatbots IC

full-timePosted: Jul 29, 2026Updated: Aug 28, 2026India - Hyderabad

Job Description

Career CategoryInformation SystemsJob DescriptionJoin Amgen’s Mission of Serving PatientsAt Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.Senior Associate, Agents/Chatbots ICWhat you will doLet’s do this. Let’s change the world. In this vital role you will play a pivotal role in building and scaling our machine learning models from development to productionCollaborate with data scientists to develop, train, and evaluate machine learning models.Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.Implement DevOps/MLOps standards to automate ML workflows and improve efficiency.Develop and implement monitoring systems to track model performance and identify issues.Conduct A/B testing and experimentation to optimize model performance.Work closely with data scientists, engineers, and product teams to deliver ML solutions.Stay updated with the latest trends and advancementsWhat we expect of youWe are all different, yet we all use our unique contributions to serve patients. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines.Basic Qualifications:Master’s degree with 5+ years of experience in Computer Science, IT or related fieldOrBachelor’s degree with 5-9 years of experience in Computer Science, IT or related fieldCertifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus.Preferred Qualifications:Solid foundation in machine learning algorithms and techniquesExperience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and social skillsGood-to-Have Skills:Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processingExperience with data engineering and pipeline developmentExperience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classificationKnowledge of NLP techniques for text analysis and sentiment analysisExperience in analyzing time-series data for forecasting and trend analysisSoft Skills:Excellent analytical and troubleshooting skills.Strong verbal and written communication skillsStrong presentation and public speaking skills.What you can expect of usAs we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.Apply now and make a lasting impact with the Amgen team. careers.amgen.comAs an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation..

Locations

  • India - Hyderabad

Skills Required

  • Computer Scienceintermediate
  • MLOps practicesintermediate
  • DevOps toolsintermediate
  • Pythonintermediate
  • big data technologiesintermediate
  • data engineeringintermediate
  • statistical techniquesintermediate
  • regression analysisintermediate
  • NLP techniques for text analysisintermediate
  • analyzing time-series data for forecastingintermediate

Required Qualifications

  • Master’s degree with 5+ years of experience in Computer Science, IT or related field (experience, 5 years)

Preferred Qualifications

  • Solid foundation in machine learning algorithms and techniques (experience)
  • Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD) (experience)
  • Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) (experience)
  • Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and social skills (experience)
  • Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing (experience)
  • Experience with data engineering and pipeline development (experience)
  • Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification (experience)
  • Knowledge of NLP techniques for text analysis and sentiment analysis (experience)
  • Experience in analyzing time-series data for forecasting and trend analysis (experience)

Responsibilities

  • Let’s do this. Let’s change the world. In this vital role you will play a pivotal role in building and scaling our machine learning models from development to production
  • Collaborate with data scientists to develop, train, and evaluate machine learning models.
  • Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
  • Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
  • Implement DevOps/MLOps standards to automate ML workflows and improve efficiency.
  • Develop and implement monitoring systems to track model performance and identify issues.
  • Conduct A/B testing and experimentation to optimize model performance.
  • Work closely with data scientists, engineers, and product teams to deliver ML solutions.
  • Stay updated with the latest trends and advancements

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